Open Access
Open access
Springer Nature
BMC Bioinformatics
,  volume 20 ,  issue S1 ,  publication number 36

MIGREW: database on molecular identification of genes for resistance in wheat

FEDOR V. KAZANTSEV 1, 2
, 
Ekaterina S Skolotneva 1
, 
Vasiliy N Kelbin 1
, 
Elena A Salina 1
, 
SERGEY A. LASHIN 1, 2
1
 
2
 
Publication type: Journal Article
Publication date: 2019-02-05
Springer Nature
scimago Q1
wos Q1
SJR: 1.190
CiteScore: 6.8
Impact factor: 3.3
ISSN: 14712105
Biochemistry
Computer Science Applications
Molecular Biology
Structural Biology
Applied Mathematics
Abstract
Population structure of fungal infections in wheat differs between wheat varieties and environments. Taking into account evolution of host-pathogen interactions, genetic diversity of both wheat and fungus must be a monitored. In order to catalogue information to support need of wheat pathologists and breeders, who use conventional methods and Molecular Assisted Selection (MAS) techniques, we have developed the Molecular Identification of Genes for Resistance in Wheat (MIGREW) database. The main goal of this database is to support wheat breeding efforts to develop immunity to rusts and powdery mildew. MIGREW is also focused on effectiveness of wheat resistance genes in different regions of Russia to provide users relevant information on the rapidly changing population structure of pathogens.
Found 
Found 

Top-30

Journals

1
2
BMC Bioinformatics
BMC Bioinformatics, 2, 50%
BMC Bioinformatics
2 publications, 50%
Plant Gene
Plant Gene, 1, 25%
Plant Gene
1 publication, 25%
Physiological and Molecular Plant Pathology
Physiological and Molecular Plant Pathology, 1, 25%
Physiological and Molecular Plant Pathology
1 publication, 25%
1
2

Publishers

1
2
Springer Nature
Springer Nature, 2, 50%
Springer Nature
2 publications, 50%
Elsevier
Elsevier, 2, 50%
Elsevier
2 publications, 50%
1
2
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
4
Share
Cite this
GOST |
Cite this
GOST Copy
KAZANTSEV F. V. et al. MIGREW: database on molecular identification of genes for resistance in wheat // BMC Bioinformatics. 2019. Vol. 20. No. S1. 36
GOST all authors (up to 50) Copy
KAZANTSEV F. V., Skolotneva E. S., Kelbin V. N., Salina E. A., LASHIN S. A. MIGREW: database on molecular identification of genes for resistance in wheat // BMC Bioinformatics. 2019. Vol. 20. No. S1. 36
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1186/s12859-018-2569-4
UR - https://doi.org/10.1186/s12859-018-2569-4
TI - MIGREW: database on molecular identification of genes for resistance in wheat
T2 - BMC Bioinformatics
AU - KAZANTSEV, FEDOR V.
AU - Skolotneva, Ekaterina S
AU - Kelbin, Vasiliy N
AU - Salina, Elena A
AU - LASHIN, SERGEY A.
PY - 2019
DA - 2019/02/05
PB - Springer Nature
IS - S1
VL - 20
PMID - 30717653
SN - 1471-2105
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2019_KAZANTSEV,
author = {FEDOR V. KAZANTSEV and Ekaterina S Skolotneva and Vasiliy N Kelbin and Elena A Salina and SERGEY A. LASHIN},
title = {MIGREW: database on molecular identification of genes for resistance in wheat},
journal = {BMC Bioinformatics},
year = {2019},
volume = {20},
publisher = {Springer Nature},
month = {feb},
url = {https://doi.org/10.1186/s12859-018-2569-4},
number = {S1},
pages = {36},
doi = {10.1186/s12859-018-2569-4}
}